AIMC Topic: Keratoconus

Clear Filters Showing 31 to 40 of 48 articles

A Review of Machine Learning Techniques for Keratoconus Detection and Refractive Surgery Screening.

Seminars in ophthalmology Jun 9, 2019
Various machine learning techniques have been developed for keratoconus detection and refractive surgery screening. These techniques utilize inputs from a range of corneal imaging devices and are built with automated decision trees, support vector ma...
Refractive Surgical Procedures Patient Selection Machine Learning Humans Diagnosis, Computer-Assisted Mass Screening Keratoconus
View on PubMed DOI

Computer aided diagnosis for suspect keratoconus detection.

Computers in biology and medicine Apr 23, 2019
PURPOSE: To develop a stable and low-cost computer aided diagnosis (CAD) system for early keratoconus detection for clinical use.
Male Diagnosis, Computer-Assisted Keratoconus Neural Networks, Computer Humans Corneal Topography Machine Learning Female Adult
View on PubMed DOI

KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks.

Computational intelligence and neuroscience Jan 23, 2019
Keratoconus (KTC) is a noninflammatory disorder characterized by progressive thinning, corneal deformation, and scarring of the cornea. The pathological mechanisms of this condition have been investigated for a long time. In recent years, this diseas...
Humans Neural Networks, Computer Algorithms Cornea Keratoconus Corneal Topography Pattern Recognition, Automated
View on PubMed DOI

Keratoconus severity identification using unsupervised machine learning.

PloS one Nov 6, 2018
We developed an unsupervised machine learning algorithm and applied it to big corneal parameters to identify and monitor keratoconus stages. A big dataset of corneal swept source optical coherence tomography (OCT) images of 12,242 eyes acquired from ...
Severity of Illness Index Unsupervised Machine Learning Principal Component Analysis Keratoconus Humans Aged Algorithms Dilatation, Pathologic Female Cornea Male
View on PubMed DOI

Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.

American journal of ophthalmology Aug 9, 2018
PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.
Corneal Pachymetry Slit Lamp Microscopy Dilatation, Pathologic Female Cornea Corneal Topography Case-Control Studies Humans Adult Male Diagnostic Techniques, Ophthalmological ROC Curve Sensitivity and Specificity Artificial Intelligence Middle Aged Keratoconus Keratomileusis, Laser In Situ Retrospective Studies Tomography
View on PubMed DOI

Reconstruction of highly and extremely aberrated wavefront for ocular Shack-Hartmann sensor using multi-task Attention-UNet.

Experimental eye research Jun 1, 2025
In certain ocular conditions, such as in eyes with keratoconus or after corneal laser surgery, Higher Order Aberrations (HOAs) may be dramatically elevated. Accurately recording interpretable wavefronts in such highly aberrated eyes using Shack-Hartm...
Cornea Aberrometry Refraction, Ocular Deep Learning Keratoconus Corneal Topography Attention Corneal Wavefront Aberration Humans
View on PubMed DOI

Using Artificial Intelligence for an Efficient Prediction of Outcomes of Deep Anterior Lamellar Keratoplasty (DALK) in Advanced Keratoconus.

Translational vision science & technology May 1, 2025
PURPOSE: To identify and analyze clinical risk factors and imaging parameters influencing the outcomes of deep anterior lamellar keratoplasty (DALK) for advanced keratoconus (KC) using an artificial intelligence (AI) model.
Female Risk Factors Young Adult Adult Humans Artificial Intelligence Treatment Outcome Visual Acuity Keratoconus Corneal Transplantation Cornea Male Middle Aged Adolescent
View on PubMed DOI

Eye-Rubbing Detection Tool Using Artificial Intelligence on a Smartwatch in the Management of Keratoconus.

Translational vision science & technology Dec 2, 2024
PURPOSE: Eye rubbing is considered to play a significant role in the progression of keratoconus and of corneal ectasia following refractive surgery. To our knowledge, no tool performs an objective quantitative evaluation of eye rubbing using a device...
Keratoconus Massage Deep Learning Wearable Electronic Devices Support Vector Machine Humans Artificial Intelligence Machine Learning Algorithms
View on PubMed DOI

Forme fruste keratoconus detection with OCT corneal topography using artificial intelligence algorithms.

Journal of cataract and refractive surgery Dec 1, 2024
PURPOSE: To differentiate a normal cornea from a forme fruste keratoconus (FFKC) with the swept-source optical coherence tomography (SS-OCT) topography CASIA 2 using machine learning artificial intelligence algorithms.
Humans Artificial Intelligence Young Adult Adult Cornea Male Algorithms Retrospective Studies Female Keratoconus Middle Aged Corneal Topography Case-Control Studies Tomography, Optical Coherence ROC Curve
View on PubMed DOI

Keratoconus Progression Determined at the First Visit: A Deep Learning Approach With Fusion of Imaging and Numerical Clinical Data.

Translational vision science & technology May 1, 2024
PURPOSE: Multiple clinical visits are necessary to determine progression of keratoconus before offering corneal cross-linking. The purpose of this study was to develop a neural network that can potentially predict progression during the initial visit...
Adolescent Keratoconus Corneal Topography Male Middle Aged Disease Progression Deep Learning Young Adult Adult Cornea Humans Neural Networks, Computer Female Risk Factors
View on PubMed DOI
Popular Topics
Recent Journals